MATEC Web Conf.
Volume 181, 2018The 1st International Symposium on Transportation Studies for Developing Countries (ISTSDC 2017)
|Number of page(s)||8|
|Section||Transportation Safety and Emergency Response|
|Published online||30 July 2018|
Prediction model of cyclist’s accident probability in the City of Malang
Brawijaya University, Depart. of Urban and Regional Planning, Malang, East Java, Indonesia
2 Brawijaya University, Depart. of Civil Engineering, Malang, East Java, Indonesia
* Corresponding author : firstname.lastname@example.org
The development of transport is currently very rapid. This is because the increasing needs of the community, is directly proportional to the needs of public transport modes need to be able to support their activities. Malang is the second largest city in East Java province that has transportation problems such as traffic jams and high accident rate. The main purpose of the research is to create prediction model of cyclists’ accident probability in the City of Malang. The research used frequency analysis and logistic regression analysis. The results showed that The prediction model of cyclists’ accidents involving bicycle users in the City of Malang was formulated with P =1 / 1+e−(−1.047+1.103x3+1.617x6−1.965x15+2.029x16+1.057x24) with X3 = income, X6 = ownership of bicycle, X15 = behavior of check the brakes, X16 = behavior of check the tires, and X24 = cycling in groups.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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